Senior AI/ML Platform Engineer — Scalable Diagnostics AI

Alldus; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Salary: $210k

Equity

Job summary

Alldus in New York City is seeking a Senior AI / Machine Learning Platform Engineer to build and operate the ML infrastructure powering diagnostics and customer experiences across voice, chat and other agent workflows. You will own data processing, model development, deployment and continuous improvement, delivering scalable, production-ready AI features.

The role requires 5+ years in software or ML engineering, strong Python and TypeScript skills, and deep experience with distributed systems

Qualifications

• 5+ years of software or ML engineering experience delivering production systems.
• Strong coding in Python and TypeScript; production ML systems experience.
• Deep understanding of retrieval, indexing, evaluation and deployment in ML.

Responsibilities

• Develop and operate ML infrastructure for search, retrieval, indexing, training, evaluation, inference and deployment.
• Build models for diagnostics, fault prediction, ranking, information extraction and automation.
• Develop capabilities for voice and chat agents across channels; manage data pipelines.
• Maintain distributed services, data pipelines, and live inference with monitoring and capacity planning.
• Design evaluation frameworks linking model accuracy to customer outcomes.
• Improve models from conversation data and human feedback.
• Strengthen engineering workflows with automated testing, CI/CD, observability and reusable infra.
• Collaborate with product engineers and domain experts to productionize AI features.
• Make architecture decisions around internal vs third-party solutions and open-source tools.

Skills

Python

TypeScript

ML infra

Distributed systems

CI/CD

Cloud platforms

Model deployment

Tools

GPUs

CI/CD pipelines

Experiment tracking

Job description

Alldus in New York City is seeking a Senior AI / Machine Learning Platform Engineer to build and operate the ML infrastructure powering diagnostics and customer experiences across voice, chat and other agent workflows. You will own data processing, model development, deployment and continuous improvement, delivering scalable, production-ready AI features.

The role requires 5+ years in software or ML engineering, strong Python and TypeScript skills, and deep experience with distributed systems